Potential Interaction of Phorid Fly Megaselia scalaris (Loew) with Various Economically Important Arthropod Fauna | Chapter 9 | Research Highlights in Agricultural Sciences Vol. 4

 The ‘destroy-fly’, Megaselia scalaris [1] (Diptera: Phoridae), is a slight, synanthropic, polyphagous fly that may keep a wide range of environmental niches. Under laboratory and instinctive conditions, miscellaneous life cycle stages devour, parasitize, and ate a larger type of plant and animal materials. In mechanically blocked environments, they are among the first wave of insects visiting human corpses. It is usually secondhand in research and within the testing room because it is easily civilized and this species is secondhand in experiments involving developmental, hereditary, and bioassay analyses. This class is important in the study of forensic entomology cause evidence derived from the lifecycle and behaviour of these flees is useful in both medical practitioner-criminal and neglect/abuse cases. The objective of this study search out represent the association concerning this fly accompanying a few agricultural and nonagricultural bugs along with few social and eusocial insects place it is shown that for various insects, this fly has various mechanisms and fads of action. The diverse cooperation of this flee with these insects gives us clear information of trophic interactions with species and contributes to the understanding building of biodiversity and ecosystem functioning.

Author(s) Details:

Kaushik Pramanik,
Department of Agricultural Entomology, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, Nadia, West Bengal – 741252, India.

Amit Layek,
Department of Agricultural Entomology, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, Nadia, West Bengal – 741252, India.

Debashis Mandal,
Department of Agricultural Entomology, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, Nadia, West Bengal – 741252, India.

Pranab Debnath,
Department of Agricultural Entomology, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, Nadia, West Bengal – 741252, India.

Debashis Roy,
Dhaanya Ganga Krishi Vigyan Kendra, Ramakrishna Mission Vivekananda Educational and Research Institute, Sargachhi, Murshidabad, West Bengal – 742408, India.

Please see the link here: https://stm.bookpi.org/RHAS-V4/article/view/8584

Role of Artificial Intelligence in Pest Management| Chapter 4 | Current Topics in Agricultural Sciences Vol. 7

According to the Food and Agriculture Organization [1,2], agricultural pests cost 20-40% loss of worldwide crop output each year. Pesticides used in excess to control pests cause serious difficulties. Farmers may use artificial intelligence (AI) approaches combined with contemporary information and communication technologies to manage these hazardous insect pests using smart agriculture. Machine learning (ML), deep learning, and computer vision are all examples of artificial intelligence (AI). Machine Learning is at the heart of AI (ML). AI can aid with taxonomic investigations, ecological studies, and pest control in agricultural entomology. The major focus of this chapter is on AI's use in pest management, namely through pest detection, monitoring, prediction, and identification, which aids in timely pest treatment. Plantix, Leaf-Byte, Bioleaf, Cotton Ace, Apizoom, and more software have been created to diagnose and identify insect pests in order to control them. The following are some of the key applications of AI in pest management that are mentioned in the chapter: Chen et al. [3] created a 90 percent accurate AIoT-based Smart Agricultural System for Tessaratoma papillosa (lychee gigantic stink bug) identification. Aphids, leaf hoppers, flax budworm, and other insect pests were detected using a mobile application created by Karar et al. [4]. All examined pest photos had 99.0 percent accuracy, including flea beetles and red spider mites. Due to the importance of monitoring insect pests in pheromone-based pest management systems, Ding and Taylor [5] created an automatic moth identification approach based on AI and photos received from pheromone traps for timely pest control, as opposed to traditional counting methods. Liu et al. [6] built an autonomous robotic vehicle in a natural farm scenario for the recognition of pyralidae insects with 94.3 percent recognition accuracy for successful pyralidae insect control in the farm using artificial intelligence. Potamitis and Rigakis [7] created a smart trap for remote monitoring of Rhynchophorus ferrugineus (Red palm weevil) in order to execute essential management measures based on ETLs. Selvaraj et al. [8] created an AI-based model for detecting banana illnesses and pests, which has a high success rate and may be used for early disease and pest detection. As a result, combining artificial intelligence with entomology will aid in the effective and timely control of pests and illnesses, as well as forecasting.

Author(s) Details:

Shaik Moizur Rahman,
Department of Entomology, College of Agriculture, Rajendranagar, PJTSAU, Hyderabad- 500030, India.

Gollapelly Ravi,
Department of Entomology, Faculty of Agriculture, BCKV, Nadia, West Bengal- 741252, India.

Please see the link here: https://stm.bookpi.org/CTAS-V7/article/view/6780